lakehq/sail

LakeSail's computation framework with a mission to unify batch processing, stream processing, and compute-intensive AI workloads.

64
/ 100
Established

Sail helps data professionals process vast amounts of data more efficiently and cost-effectively than traditional methods. It takes your existing data processing tasks, whether they're for regular reports, real-time analysis, or AI model training, and processes them with significantly faster results and lower infrastructure costs. Data engineers, data scientists, and anyone managing large-scale data pipelines would benefit from using Sail.

1,183 stars. Actively maintained with 89 commits in the last 30 days.

Use this if you need to accelerate your large-scale batch or streaming data pipelines and AI workloads, especially if you are currently using Apache Spark and want a drop-in replacement that's faster and cheaper.

Not ideal if your data processing needs are small-scale, simple, or do not require distributed computing or advanced AI workload capabilities.

data-engineering data-science big-data-analytics machine-learning-ops cloud-cost-optimization
No Package No Dependents
Maintenance 22 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

1,183

Forks

82

Language

Rust

License

Apache-2.0

Last pushed

Mar 13, 2026

Commits (30d)

89

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